Principal Software Engineer (AI/ML) in Luton

Principal Software Engineer (AI/ML) in Luton

Luton Full-Time 54000 - 70000 £ / year (est.) Home office (partial)
Leonardo

At a Glance

  • Tasks: Develop cutting-edge AI/ML software for defence and aerospace projects.
  • Company: Join Leonardo, a global leader in Aerospace, Defence, and Security.
  • Benefits: Enjoy flexible working, generous leave, and a comprehensive benefits package.
  • Other info: Be part of a diverse team driving innovation and creativity.
  • Why this job: Make a real impact on innovative projects like stealth fighter jets.
  • Qualifications: Degree in Computer Science or Engineering with AI/ML experience.

The predicted salary is between 54000 - 70000 £ per year.

Salary Range: £54,000 - £70,000

Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity.

Your Impact

Are you a software engineer with a working knowledge of Artificial Intelligence (AI) and Machine Learning (ML)? Are you interested in developing software for some of the most cutting-edge defence and aerospace projects in the UK? If the prospect of developing software for projects such as a sixth-generation stealth fighter jet or a revolutionary Laser Directed Energy product excites you, then Leonardo would like to hear from you.

Leonardo is seeking to recruit Senior or Principal Software Engineers with an interest in Artificial Intelligence and Machine Learning to join our well-established software community within our Electronics UK business. Successful candidates will contribute to the delivery of leading-edge solutions for challenging civilian and military projects.

Leonardo has a significant interest in exploiting AI/ML technologies. In this role, you will support our systems engineers on research projects while developing deployable software solutions that leverage AI/ML capabilities.

What you’ll bring

You will have experience of, and a passion for, AI/ML. You should hold a degree in Computer Science, Engineering, or a related technical discipline, combined with practical experience in delivering high-integrity software products within a regulated environment.

  • Industry experience working on Agile projects across the full software life cycle.
  • Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration.
  • A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large language models (LLMs).
  • Experience building scalable pipelines, including APIs, vector databases, retrieval-augmented generation (RAG), and orchestration frameworks.
  • Experience curating datasets, managing embeddings, and ensuring security, privacy, and responsible AI practices.
  • Experience in prompt engineering, with the ability to design, test, and systematically improve prompts, while measuring the accuracy, bias, and robustness of LLM outputs.
  • Awareness of agentic workflows involving AI agents that can plan, reason, and take autonomous actions.
  • Awareness of governance, security, and compliance considerations relating to data management and AI deployment.
  • Awareness of mathematical libraries used for signal, image, and data processing.
  • Awareness of high-performance computing and the challenges associated with parallel processing.

This list is not exhaustive, and we are keen to hear from you even if you do not meet every requirement. The most important attribute is a willingness to learn and develop.

Security Clearance

This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV).

Why join us

At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work–life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we’re here to help you thrive.

  • Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year.
  • Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution.
  • Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity.
  • Rewarding Performance: All employees at management level and below are eligible for our bonus scheme.
  • Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning.
  • Refer a friend: Receive a financial reward through our referral programme.
  • Tailored Perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more.
  • Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role.

For a full list of our company benefits please visit our website.

Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team—they are key contributors to shaping innovation, advancing technology, and enhancing global safety.

At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know.

Be part of something bigger - apply now!

Primary Location: GB - Luton - Cap. Green 300

Additional Locations: GB - Basildon, GB - Edinburgh, GB - Lincoln, GB - Newcastle, GB - Southampton

Contract Type: Permanent

Hybrid Working: Hybrid

Principal Software Engineer (AI/ML) in Luton employer: Leonardo

Leonardo is an exceptional employer that prioritises employee experience and inclusion, offering a dynamic work culture in the heart of Edinburgh. With flexible hybrid working arrangements, generous leave policies, and comprehensive mental health support, employees are empowered to thrive both personally and professionally. The company fosters growth opportunities, ensuring that every team member can develop their skills and advance their careers in a supportive environment.

Leonardo

Contact Details:

Leonardo Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Software Engineer (AI/ML) in Luton

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Leonardo or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Leonardo.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Leonardo.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Leonardo that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Principal Software Engineer (AI/ML) in Luton

Python
SQL
Problem-Solving Skills
Communication Skills
Data Engineering
Automation
Data Pipeline Development

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Leonardo.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Leonardo and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Leonardo

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Leonardo uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.